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1 – 10 of over 1000Fei Hao, Yueming Guo, Chen Zhang and Kaye Kye Sung Kye-Sung Chon
This study aims to investigate the integration of blockchain technology into the food supply chain within the restaurant industry. It focuses on how blockchain can be applied to…
Abstract
Purpose
This study aims to investigate the integration of blockchain technology into the food supply chain within the restaurant industry. It focuses on how blockchain can be applied to enhance transparency and trust in tracking food sources, ultimately impacting customer satisfaction.
Design/methodology/approach
A service design workshop (Study 1) and three between-subjects experiments (Studies 2–4) were conducted.
Findings
Results indicate that blockchain adoption significantly improves traceability and trust in the food supply chain. This improvement in turn enhances customer satisfaction through perceived improvements in food safety, quality and naturalness. This study also notes that the effects of blockchain technology vary depending on the type of restaurant (casual or fine dining) and its location (tourist destinations or residential areas).
Practical implications
The findings offer practical insights for restaurant owners, technology developers and policymakers. Emphasizing the benefits of blockchain adoption, this study guides decision-making regarding technology investments for enhancing customer service and satisfaction in the hospitality sector.
Originality/value
This research contributes novel insights to the field of technology innovation in the hospitality industry. It extends the understanding of signaling theory by exploring how blockchain technology can serve as a tool for signal transmission in restaurant food supply chains.
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Khalid Hussain, Asma Afzaal, Maha Khamis Al Balushi and Muhammad Junaid
The intense competition among restaurant brands made it difficult to retain and engage customers. Service innovation can play a vital role to serve this purpose, however…
Abstract
Purpose
The intense competition among restaurant brands made it difficult to retain and engage customers. Service innovation can play a vital role to serve this purpose, however, restaurant brands' efforts to bringing innovativeness may not yield desired results unless customers perceive them innovative. Therefore, the present study aims to investigate the role of customer perceived innovativeness (CPRI) in enhancing brand love and evangelism among customers. This study compares these effects between fast-food and continental restaurants to offer deeper insights.
Design/methodology/approach
Data were collected from 303 customers of fast-food and continental restaurants through self-administered structured questionnaire. The reliability and validity were established through confirmatory factor analysis. The hypotheses were tested using structural equation modeling and multi-group SEM with MPlus.
Findings
The findings of this study reveal that menu, experiential and promotional innovativeness dimensions of CPRI positively influence brand love. The effects of CPRI dimensions transcend to brand evangelism dimensions, i.e. brand purchase intension, positive brand referrals and oppositional brand referrals via brand love. The multi-group analysis showed that continental restaurants' menu innovativeness strongly impacts brand love and evangelism while promotional innovativeness matters more in the context of fast-food restaurants.
Practical implications
This study helps restaurant managers in devising tailor made strategies for fast-food and continental restaurants by focusing on the relevant attributes to bring innovation.
Originality/value
This research is one of the pioneering studies to investigate the relationship of CPRI with brand evangelism through the mediating role of brand love. This study also marks an initial attempt to compare fast-food and continental restaurants in the context of CPRI.
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Rafael Bakhtavoryan, Chrystian Suchini, Jose Lopez and Desire Djidonou
This study empirically identifies household demographic and socioeconomic characteristics as well as restaurant characteristics that affect the probability of households choosing…
Abstract
Purpose
This study empirically identifies household demographic and socioeconomic characteristics as well as restaurant characteristics that affect the probability of households choosing an ethnic restaurant (American, Asian, European, Mexican and other) in the USA.
Design/methodology/approach
A multinomial logistic regression model is applied using the data derived from the information from the National Household Food Acquisition and Purchase Survey conducted between April 2012 and January 2013.
Findings
The empirical findings suggest that such factors as the unit cost on away-from-home food items (i.e. price), region of residence, primary respondent's ethnicity, race, education level, marital status and employment status as well as such restaurant characteristics as availability of loyalty program and presence of coupons significantly affect the probability of households choosing a particular ethnic restaurant in the USA.
Research limitations/implications
The original dataset employed in this study does not permit the quantification of information associated with size, location, and number of years in operation for the ethnic restaurants considered. Also, the dataset does not permit the classification of the ethnic restaurants included in the “other” category.
Originality/value
To the best of the authors' knowledge, there has been no empirical micro-level analysis associated with determining factors impacting households' choice of ethnic restaurants using a polytomous logistic regression model allowing for a wide range of ethnic restaurants and covering the entire USA, based on an extensive set of household demographic and socioeconomic factors and restaurants characteristics. As such, the current study plugs this research gap, with the empirical findings furnished by this study being of importance to ethnic restaurant operators (owners) in the operators' effort to develop effective marketing strategies.
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Tevfik Demirciftci, Amanda Belarmino and Carola Raab
The purpose of this study is to discover what attributes of casino buffet restaurants are the most important for customers’ willingness to pay (WTP).
Abstract
Purpose
The purpose of this study is to discover what attributes of casino buffet restaurants are the most important for customers’ willingness to pay (WTP).
Design/methodology/approach
Choice-based conjoint analysis was used in this study to test seven attributes: food, price/value, real price, service, atmosphere, the number of reviews and user-generated star ratings. Sawtooth Software was used to do the conjoint analysis, and a series of significance t-tests were run to determine the significance of each attribute on WTP with Statistical Package for the Social Sciences (SPSS).
Findings
Based on a survey of 483 respondents who had visited a buffet at a casino within the last two years, this study found that food is ranked as the most significant attribute of a casino buffet restaurant, followed by real price and service quality.
Originality/value
Theoretically, this work is the first to the authors’ knowledge to apply the antecedents of behavioral intention to willingness-to-pay for niche restaurants. Practically, the results of this study will help casino buffet operators as they re-open after COVID-19. Future studies could collect data in the post-pandemic environment and examine WTP at casino buffets in different geographic locations.
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Yao-Chin Wang and Avraam Papastathopoulos
With the trend of adopting and studying artificial intelligence (AI) service robots at restaurants, the authors’ understanding of how customers perceive robots differently across…
Abstract
Purpose
With the trend of adopting and studying artificial intelligence (AI) service robots at restaurants, the authors’ understanding of how customers perceive robots differently across restaurant segments remains limited. Therefore, building upon expectancy theory, this study aims to propose a trust-based mechanism to explain customers’ support for AI-based service robots.
Design/methodology/approach
For cross-segment validation, data were collected from online survey participants under the scenarios of experiencing AI service robots in luxury (n = 428), fine-dining (n = 420), casual (n = 409) and quick-service (n = 410) restaurant scenarios.
Findings
In all four segments, trust in technology increased willingness to accept AI service robots, which was then positively related to customers’ support for AI-based service robots. Meanwhile, customers’ AI performance expectancy mediated the relationship between trust in technology and willingness to accept AI service robots. On the other hand, at luxury, fine-dining and casual restaurants, males perceived a stronger positive relationship between trust in technology and AI performance expectancy. No generational differences were found in the four restaurant segments between trust in technology and AI performance expectancy.
Originality/value
To the best of the authors’ knowledge, this study is one of the first attempts in hospitality research to examine cross-segment validation of customers’ responses to AI-based service robots in the luxury, fine-dining, casual and quick-service restaurant segments.
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Li Ge, Chun-Hung (Hugo) Tang, Carl Behnke and Richard Ghiselli
This study (1) assessed restaurant consumers' perceived importance of better food quality versus larger portion sizes, (2) classified restaurant consumers into different segments…
Abstract
Purpose
This study (1) assessed restaurant consumers' perceived importance of better food quality versus larger portion sizes, (2) classified restaurant consumers into different segments based on their perceived importance of seven food quality attributes (taste, texture, aroma, appearance and the use of natural, local and organic ingredients) relative to portion size and (3) compared the identified market segments.
Design/methodology/approach
An online survey assessed 613 USA adult participants' perceived importance of seven food quality attributes relative to portion size. A K-means cluster analysis classified participants into different segments based on their perceptions.
Findings
Five restaurant consumer segments were identified: sensory-oriented consumers, taste-oriented organic food consumers, local and natural food consumers, quantity-oriented consumers and quality-oriented consumers. In general, quality-oriented consumers were the least likely to visit fast-food restaurants, had the highest average per-meal spending and were the least likely to eat out alone. Local and natural food consumers and taste-oriented organic food consumers had higher total restaurant spending than other groups. Quantity-oriented and sensory-oriented consumers visited fast-food restaurants more often and had lower total restaurant spending and per-meal spending than other groups. Age, sex and income were significantly associated with the segmentation outcomes.
Practical implications
Findings suggest promising opportunities for restaurants to enhance consumer perceptions of value by prioritizing the factors that hold the greatest significance to their target customers.
Originality/value
This study is the first attempt to segment restaurant consumers based on their perceived importance of food quality attributes relative to portion size, effectively identifying five distinct consumer segments.
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Wenjia Han, Ozgur Ozdemir and Shivam Agarwal
Built upon customer engagement marketing theory and uses and gratification theory, this study examines the link between individual social media marketing (SMM) performance…
Abstract
Purpose
Built upon customer engagement marketing theory and uses and gratification theory, this study examines the link between individual social media marketing (SMM) performance indicators and restaurant sales performance at the firm level. Moreover, the study investigates the moderating effect of advertising expenditure on this proposed relationship.
Design/methodology/approach
Random effect regression models were developed in Stata to examine the associations between SMM performance indicators, advertising expenditure, and restaurant firm revenue. Twelve years of SMM data from brands' Facebook pages were collected with a web scraper built in Python. Natural language processing was used to analyze the sentiment of user-generated content (UGC).
Findings
The results suggest that restaurant annual sales revenue increases as the volume of brand posts, “like”s, “share”s and positive comments on restaurants' Facebook pages increase. However, the total number of comments and the number of negative comments show non-significant associations with revenue. Firm advertising expenditure negatively moderates the relationships between sales revenue and the number of “like”s, “share”s, total comments and positive comments.
Practical implications
Restaurants benefit from making frequent posts on SNSs. Promotions that motivate online users to “like”, share, and comment on brand posts should be implemented. Firms with limited advertising budgets are encouraged to actively create buzz on SNSs due to evidenced stronger effects of UGC on sales performance than large advertisers.
Originality/value
This research bridges the gap by studying the effects of individual SMM performance indicators on restaurant financial outcomes. The findings support the effectiveness of SMM; and, for the first time, demonstrate that SMM could generate a more profound impact for firms with low advertising budgets.
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Zhiwei (CJ) Lin, Wenjie Xiao, Baolin Deng, Changjiang (Bruce) Tao and IpKin Anthony Wong
While the rise of chain restaurants has attracted increasing research interest, few studies have taken servicescape into consideration to examine its effects on transformative…
Abstract
Purpose
While the rise of chain restaurants has attracted increasing research interest, few studies have taken servicescape into consideration to examine its effects on transformative service outcomes. This study aims to assess how social service elements can provide customers with restorative qualities, though social components are considered vital in constituting a dining locale's servicescape (AKA Social Servicescape).
Design/methodology/approach
The study fills the void above by undertaking a survey-based quantitative research method. Using online surveys with a sample of 306 diners, the study employed structural equation modeling to explore a proposed moderated mediation model. A post-hoc interview followed to provide qualitative data to complement the findings developed from surveys.
Findings
Results first point to a positive relationship between social servicescape and attention restoration. Moreover, the authors unveil that substantive servicescape has a moderating effect on the relationship of interest, suggesting the interplay of social and built servicescape in promoting restorative experiences.
Research limitations/implications
Social and built stimuli can be intertwined to offer restorative qualities for customers. Through such an intertwined network of relationships, one may derive better mental health resources from hospitality settings.
Originality/value
This research presents new nuances to the existing field of inquiry by linking social servicescape and restoration through an intertwined network of attentional recovery.
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This study aims to analyze how restaurants' collaboration with mobile food delivery applications (MFDAs) affects product development efficiency and argues that technological…
Abstract
Purpose
This study aims to analyze how restaurants' collaboration with mobile food delivery applications (MFDAs) affects product development efficiency and argues that technological capabilities moderate relational ties impact the joint decision-making and development efficiency of restaurant products.
Design/methodology/approach
A product development efficiency model was formulated using a resource-based view and real options theory. In all, 472 samples were collected from restaurants collaborating with MFDAs, and partial least squares structural equation modeling was applied to the proposed model.
Findings
The findings of this study indicate three factors are critical to the product development efficiency between restaurants and MFDAs; restaurants must develop a strong connection with the latter to ensure meals are consistently served promptly. Developers of MFDAs should use artificial intelligence analysis, such as order records of different genders and ages or various consumption attributes, to collaborate with restaurants.
Originality/value
To the best of the authors’ knowledge, this study is one of the few that considers the role of MFDAs as a product strategy for restaurant operations, and the factors the authors found can enhance restaurants’ product development efficiency. Second, as strategic artificial intelligence adaptation changes, collaborating firms and restaurants use such applications for product development to help consumers identify products.
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Awes Asghar, Ruba Asif and Naeem Akhtar
The existing literature has examined the determinants of post-purchase behavioral intentions. However, less attention has been devoted to the factors that contribute to perceived…
Abstract
Purpose
The existing literature has examined the determinants of post-purchase behavioral intentions. However, less attention has been devoted to the factors that contribute to perceived usefulness of fast-food restaurants attributes. The current study considers the servicescapes and social servicescapes of restaurants as well as their relationship with customers' perceived usefulness, with the moderating role of customer experience. It also explores how perceived usefulness influences choice process satisfaction and subsequent behavioral responses, including revisit intention and negative word-of-mouth.
Design/methodology/approach
Data from 485 fast-food restaurant consumers in Pakistan were collected using purposive sampling. The data were analyzed using both structural equation modeling (SEM) through AMOS 24.0 and the PROCESS macro in IBM SPSS 27.0.
Findings
The research revealed that perceived usefulness in fast-food restaurant industry is positively influenced by servicescapes and social servicescapes. Similarly, choice process satisfaction is primarily caused by perceived usefulness and affects behavioral responses. It also found that choice process satisfaction is positively associated with revisit intentions and negative word-of-mouth. Customer experience significantly moderates the relationship between ambient condition, facility aesthetic, layout, perceived similarity and perceived usefulness. However, customer experience insignificant moderates the relationships of physical appearance and suitable behavior with perceived usefulness.
Research limitations/implications
The findings provide insightful information for both academic and managerial fields, contributing to the literature on consumer psychology, consumer behavior, servicescapes and the stimulus-organism-response theory. The study also assists restauranteurs in the fast-food restaurant industry in overcoming the challenges posed by a highly competitive environment and developing strategies based on consumer perceptions.
Originality/value
This study, conducted in Pakistan, took a pioneer step in testing and confirming a novel perceived usefulness model that incorporates not only servicescapes but also social servicescapes in consumer behavior. It enhances the knowledge of consumer visit intentions by quantifying the significance of perceived usefulness developed by different servicescapes.
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